A power load forecasting method using cosine similarity and a graph convolutional network by JI Shan, JIANG Wei, JING Xin

“…Finally， extensive experiments on a real-world dataset demonstrate the method’s effectiveness and robustness in forecasting both short-term and long-term load series.…”
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Causal discovery and fault diagnosis based on mixed data types for system reliability modeling by Xiaokang Wang, Siqi Jiang, Xinghan Li, Mozhu Wang

“…Finally, empirical research is conducted on real-world industrial sensor data, which demonstrates the effectiveness of the proposed method for discovering causal relationships in heterogeneous non-Euclidean data.…”
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Adaptive Language Processing Based on Deep Learning in Cloud Computing Platform by Wenbin Xu, Chengbo Yin

“…At the same time, a large amount of bilingual data has also been produced in the real world. These data are undoubtedly a great asset for statistical machine translation research. …”
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Optimizing Supplier Selection: A Comparative Study of Fuzzy VIKOR and Fuzzy Moora for Performance-Based Decision Making by Johan Krisnanto Runtuk, Steven Christanto, Poh Kiat Ng

“…This study contributes to enhancing supplier selection methodologies by providing a comparative analysis of these techniques in a real-world context.…”
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Reducing Cross-Sensor Domain Gaps in Tactile Sensing via Few-Sample-Driven Style-to-Content Unsupervised Domain Adaptation by Xingshuo Jing, Kun Qian

“…Experiments on three cross-sensor domain adaptation and real-world robotic cross-sensor shape recognition tasks demonstrate that our method outperforms state-of-the-art approaches, particularly achieving 89.8% accuracy on the DIGIT recognition dataset.…”
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A Decentralized Energy Flow Control Framework for Regional Energy Internet by Guofeng Wang, Kangli Zhao, Yu Yang, Junjie Lu, Youbing Zhang

“…The numerical results of real-world traces show that the regional EI can better absorb the renewable energy under the optimized control strategy, which proves the feasibility and economy of the proposed decentralized energy flow control framework.…”
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Workforce Diversity: A Spotlight on Employee Sustainability Excellence in India by AISWARYA Balachandar, RAMASUNDARAM Gurusamy, SUDHA Paulin, POONDY Rajan

“…With its blend of academic rigor and real-world relevance, this paper is indispensable reading for industry practitioners, policymakers, and scholars alike.…”
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A Novel Methodology for Performance Evaluation in Advanced Quality Control by Ethel García, Rita Peñabaena-Niebles, Winston S. Percybrooks, Kevin Palomino

“…The findings reveal that window size significantly impacts the model’s sensitivity to pattern changes, highlighting that measuring early detection alone is impractical in real-world applications. Furthermore, optimal hyperparameter selection enhances the model’s practical applicability.…”
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Pharmacovigilance study of the association between progestogen and depression based on the FDA adverse event reporting System (FAERS) by Hui Gao, Xiaohan Zhai, Yan Hu, Hang Wu

“…These findings provide real-world evidence of the potential risk of progestogen-related depression.…”
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MKC-SMOTE: A Novel Synthetic Oversampling Method for Multi-Class Imbalanced Data Classification by Jiao Wang, Norhashidah Awang

“…Extensive experiments were conducted on 21 real-world datasets, comparing the MKC-SMOTE algorithm with six imbalance problem handling methods and two classifiers. …”
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Probabilistic Forecasting of Crude Oil Prices Using Conditional Generative Adversarial Network Model with Lévy Process by Mohammed Alruqimi, Luca Di Persio

“…Experimental evaluations on two real-world oil price datasets demonstrate the superior performance of the proposed model, achieving a Mean Squared Error (MSE) of 0.000054 and outperforming benchmark models.…”
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Improving diversification by a hybrid bat-Nelder-Mead algorithm and DDE for rapid convergence to solve global optimization by Enas Suhail, Mahmoud El-Alem, Omar Bazighifan, Ahmed Zekri

“…Delay differential equations and algorithms hold a crucial position in the exploration of some biological systems and several models in real-world applications. So, some algorithms contribute to improve mathematical models related to natural life problems and global optimization. …”
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Detecting memberships in multiplex networks via nonnegative matrix factorization and tensor decomposition by Fengqin Tang, Xiaozong Wang, Xuejing Zhao, Chunning Wang

“…The proposed method is asymptotically consistent, and its effectiveness is validated through experiments on synthetic and real-world multilayer networks. The results show that NMFTD exhibits robustness across various parameter settings, outperforming or competing closely with other methods.…”
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Development and Validation of a Video-Based Passing Decision-Making Test for Soccer and Futsal by Aristotelis Gioldasis, Michalis Mitrotasios, Athanasia Smirniotou

“…Methods: The test was carefully designed using real-world video clips and underwent rigorous validation procedures that included content validity checks as well as assessments, for test retest reliability, construct and face validity. …”
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Smart Daylighting Strategies for Architectural Studios: Evaluating Louvre Angles and Time Effects Through Revit Simulations by Novia Bramiana Chely, Azzam Ismail Muhammad, Ismail Hasan Muhammad, Mahjuddin Ressang Asrul

“…However, limitations such as static simulations and lack of real-world validation highlight the need for further research to confirm findings and explore advanced daylighting strategies.…”
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Improving Accuracy and Calibration of Deep Image Classifiers With Agreement-Driven Dynamic Ensemble by Pedro Conde, Rui L. Lopes, Cristiano Premebida

“…One of the biggest challenges when considering the applicability of Deep Learning systems to real-world problems is the possibility of failure in <italic>critical</italic> situations. …”
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EXAMINING THE IMPACT OF AI TECHNOLOGY ON MARKETING STRATEGIES IN FINANCIAL SERVICES by POPESCU JENICA, SPULBAR LUCIAN FLORIN, SMARANDESCU ANDREI

“…Through a series of case studies, the article showcases real-world examples of AI-driven marketing successes in financial services, illustrating how companies are achieving enhanced customer satisfaction, increased operational efficiency, and data-driven decision-making. …”
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Reduced multiscale complexity of daily behavioral dynamics in autism spectrum disorder by Toru Nakamura, Tomiki Sumiyoshi, Yoko Kamio, Hidetoshi Takahashi

“…Conclusion Multiscale analysis enhances the understanding of ASD's behavioral dynamics, providing valuable metrics for real‐world assessments.…”
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A Deep Reinforcement Learning Approach for Ramp Metering Based on Traffic Video Data by Bing Liu, Yu Tang, Yuxiong Ji, Yu Shen, Yuchuan Du

“…A series of simulation experiments based on real-world traffic data are conducted to evaluate the proposed approach. …”
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The information gain of explicitly provided over self-generated contextual knowledge for behavioral control. by Lukas Magnaguagno, Stephan Zahno, Ernst-Joachim Hossner

“…However, in complex real-world settings, it remains unclear whether the explicit provision of contextual information is beneficial or not. …”
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